Excavator trial-production assembly data management method

Abstract

The invention discloses an excavator trial-production assembly data management method, which comprises the following steps: decomposing a trial-production task into a plurality of standard operation tasks, each operation task comprising a plurality of standard subtasks; all the subtasks of each job task are completed, and the job task is completed; all the operation tasks of each trial-production task are completed, and the trial-production task is completed; for non-standard job tasks, a fixed data format is stipulated, and the non-standard job tasks are converted into standard job tasks by utilizing an algorithm in the later period, so that all standardized management of the job tasks is realized; according to the method, the trial-produced key data is subjected to structured configuration, the structural data can be screened and analyzed according to requirements, the statistical rule behind the data is mined, and the data use value is improved.

Description

Technical Field

[0001] The invention relates to an assembly data management method, in particular to an excavator trial production assembly data management method. Background Art

[0002] The trial production and assembly process of the excavator requires unified management and control of data such as tasks, labor, production materials, production auxiliary materials, process and result documents, and the data must be associated with each other to facilitate data analysis. During the entire trial production and assembly process of the excavator, a large number of approval processes need to be executed.

[0003] The existing trial production and assembly data storage method is the storage method of electronic documents and paper files. The approval process of the trial production and assembly process mostly adopts the form of offline application and approval, which has the following disadvantages: (1) Various trial production data are not stored in a structured and informationized manner, making it impossible to conduct flexible and large-scale data analysis and mining; (2) It is not conducive to long-term storage and search of data; (3) A large amount of manual work is required to archive data, which is inefficient; (4) The approval process is inefficient and information feedback is not timely. Summary of the invention

[0004] In view of the problems existing in the above-mentioned prior art, the present invention provides a method for managing trial production and assembly data of an excavator, which decomposes a trial production task into multiple standard operation tasks, each operation task contains multiple standard sub-tasks; when all sub-tasks of each operation task are completed, the operation task is completed; when all operation tasks of each trial production task are completed, the trial production task is completed; for non-standard operation tasks, a fixed data format is specified, which is later converted into standard operation tasks using an algorithm to achieve fully standardized management of operation tasks.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: a method for managing excavator trial production assembly data, including the following method: Step 1: First, establish the trial production master file. The master file information in the trial production master file is the key structured information and is the basic information set of the entire trial production data; Step 2: After the trial production master file is established, enter the production material BOM import and task release stage; Step 3: After the task is released, it enters the task allocation stage. Part of the task allocation data comes from the job content data dictionary, which defines and stores the job content in a standardized manner. The standard job content in the job content data dictionary is selected, and the operator of each standard job content is designated to perform task allocation; Step 4: When executing task assignment, you can also assign customized work content. The format of customized work content is consistent with the standard work content format; Step 5: After the task allocation is completed, enter the standard job content task processing and custom job content processing. Each task processing contains 4 processing sub-processes, namely: production log process processing, assembly record process processing, BOM use process processing, process exception process processing. After all sub-processes in a standard or custom job content task processing are completed, the job content task processing is completed. After all standard or custom job content tasks are processed, the trial production task is completed; Step 6: For customized work content, standard work content can be generated and associated later.

[0006] Furthermore, in step one, the master file information includes: the master file information includes the model, model type, design department, emission standard, trial production quantity, whole machine number, and trial production plan node.

[0007] Furthermore, in the step two, the production material BOM import outputs the production material BOM data. The production material BOM data originates from the existing data management system, and cross-platform data synchronization is performed here. The production material BOM data has been structured and contains key structured data such as trial production section, material number, received quantity, used quantity, adjusted quantity, etc. The task release sends the master file information to the next stage.

[0008] Furthermore, in the step three, the job content data dictionary contains two levels of nodes, the first-level node is the trial production section, in a string format, and the second-level node is the standard job content, in the format of the current trial production section (first-level node content) + component description (a description of a component included in the current trial production section) + operation description (a description of the operation action on the component). The dictionary can be manually expanded and maintained, and one or more standard job contents in the job content data dictionary are selected, and the operator for each standard job content is specified to perform task assignment.

[0009] Furthermore, in step 4, the format of the customized job content is consistent with the format of the standard job content. The customized job content contains key information blocks such as trial production section description, component description, and operation description. The purpose of keeping the customized job content consistent with the standard customized content is to convert the accumulated large amount of customized job content into standard job content through text similarity algorithm in the later stage.

[0010] Furthermore, in the step five, there is only one process for production log process processing, assembly record process processing, and BOM usage process processing, and there is one or more processes of the same mode for process exception process processing, wherein the production log contains key structured information such as quality control points, measuring instruments, inspection standards, measurement results, and labor hours; the assembly record contains important structured information such as operation steps and change content; the BOM usage filter calls the production material BOM data generated from the production material BOM import stage, and records the material usage; the process exception contains key structured information such as exception type, abnormal component classification, abnormal component number, whole machine number, trial production section, operation content (standard and custom), and abnormal system classification.

[0011] Furthermore, in step six, the custom job contents in all trial production tasks constitute a custom job content set, and each custom job content includes key information blocks such as trial production section description, component description, and operation description. For the custom job content set, the key information blocks are calculated and analyzed through a text similarity matching algorithm to generate one or more similar job content sets. After standard job content recommendation, each similar job content set can generate a new standard job content. After confirmation, the new standard job content is stored in the job content data dictionary. The new standard job content is associated with the similar job content set. As needed, the custom job content can be replaced with the standard job content.

[0012] The beneficial effects of the present invention are: the key data of the trial production is structured, the structured data can be screened and analyzed according to needs, the statistical laws behind the data can be mined, and the use value of the data can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 This is a flowchart of the data dictionary for the job content; Figure 3 A flowchart of the customized job content. DETAILED DESCRIPTION

[0014] In order to make the purpose, technical solution and advantages of the present invention more clear, the present invention is further described in detail below through the accompanying drawings and embodiments. However, it should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the scope of the present invention.

[0015] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0016] like Figure 1 As shown, a method for managing excavator trial production and assembly data includes the following methods: Step 1: The overall process of the data management method is as follows: Figure 1 As shown, firstly, the trial production master file is established. The master file information includes key structured information such as model, model type, design department, emission standard, trial production quantity, whole machine number, trial production plan node, etc. It is the basic information set of the entire trial production data.

[0017] Step 2: Figure 1 As shown in the figure, after the trial production master file is established, it enters the production material BOM import and task release stage; the production material BOM import outputs the production material BOM data, and the production material BOM data comes from the existing data management system. Cross-platform data synchronization is performed here. The production material BOM data has been structured and contains key structured data such as the trial production section, material number, received quantity, used quantity, adjusted quantity, etc. The task release sends the master file information to the next stage.

[0018] Step 3: After the task is released, it enters the task allocation stage. Part of the task allocation data comes from the job content data dictionary, which defines and stores the job content in a standardized manner. Figure 2 As shown in the figure, the operation content data dictionary contains two levels of nodes. The first level node is the trial production section, in string format, and the second level node is the standard operation content, in the format of the current trial production section (first level node content) + component description (description of a component included in the current trial production section) + operation description (description of the operation action on the component). The dictionary can be manually expanded and maintained. Select one or more standard operation contents in the operation content data dictionary, specify the operator of each standard operation content, and perform task allocation.

[0019] Job content: the smallest unit that a trial production task can be decomposed into. Usually, a trial production task contains multiple job contents. The job content is a text description in a fixed format. Job content data dictionary: a data set used to store job contents in a standard format. The release of a trial production task is to select one or more existing job contents in a standard format from this data table for release.

[0020] Step 4: When executing task assignment, you can also assign custom job content. The format of custom job content is consistent with the standard job content format, such as Figure 3 As shown: the customized job content contains key information blocks such as trial production section description, component description, and operation description. The purpose of keeping the customized job content consistent with the standard customized content is to convert the accumulated large amount of customized job content into standard job content through text similarity algorithm in the later stage.

[0021] Step 5. After the task assignment is completed, enter the standard job content task processing and custom job content processing (if custom job content is assigned). Each task processing contains 4 processing sub-processes, namely: production log process processing, assembly record process processing, BOM usage process processing, process exception process processing. The first three process processings have only one process, and the last process processing has one or more processes of the same mode. Among them, the production log contains key structured information such as quality control points, measuring instruments, inspection standards, measurement results, and labor hours; the assembly record contains important structured information such as operation steps and change content; the BOM usage filter calls the production material BOM data generated from the production material BOM import stage, and records the material usage; the process exception contains key structured information such as exception type, abnormal component classification, abnormal component number, whole machine number, trial production section, operation content (standard and custom), and abnormal system classification. Figure 1 As shown, after all sub-processes in a standard or custom job content task processing are completed, the job content task processing is completed, and after all standard or custom job content tasks are processed, the trial production task is completed.

[0022] Step 6: For customized work content, standard work content can be generated and associated later. The principle is as follows Figure 3 As shown in the figure, the custom work contents in all trial production tasks constitute a custom work content set. Each custom work content contains key information blocks of trial production section description, component description, and operation description. For the custom work content set, the key information blocks are calculated and analyzed through the text similarity matching algorithm to generate one or more similar work content sets. After the standard work content recommendation, each similar work content set can generate a new standard work content. After confirmation, the new standard work content is stored in the work content data dictionary. The new standard work content is associated with the similar work content set. According to needs, the custom work content can be replaced with the standard work content.

[0023] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modification, equivalent substitution or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for managing excavator trial production and assembly data, characterized in that: The following methods are included: Step 1: First, establish the trial production master file. The master file information in the trial production master file is the key structured information and is the basic information set of the entire trial production data; Step 2: After the trial production master file is established, enter the production material BOM import and task release stage; Step 3: After the task is released, it enters the task allocation stage. Part of the task allocation data comes from the job content data dictionary, which defines and stores the job content in a standardized manner. The standard job content in the job content data dictionary is selected, and the operator of each standard job content is designated to perform task allocation; Step 4: When executing task assignment, you can also assign customized work content. The format of customized work content is consistent with the standard work content format; Step 5: After the task allocation is completed, enter the standard job content task processing and custom job content processing. Each task processing contains 4 processing sub-processes, namely: production log process processing, assembly record process processing, BOM use process processing, process exception process processing. After all sub-processes in a standard or custom job content task processing are completed, the job content task processing is completed. After all standard or custom job content tasks are processed, the trial production task is completed; Step 6: For customized work content, standard work content can be generated and associated later.

2. The method for managing excavator trial production and assembly data according to claim 1, characterized in that: In the step 1, the main file information includes: the main file information includes the model, model type, design department, emission standard, trial production quantity, whole machine number, and trial production plan node.

3. The method for managing excavator trial production and assembly data according to claim 1, characterized in that: Specifically in the step 2, the production material BOM import outputs the production material BOM data. The production material BOM data originates from the existing data management system. Cross-platform data synchronization is performed here. The production material BOM data has been structured and contains key structured data such as trial production section, material number, received quantity, used quantity, adjusted quantity, etc. The task release sends the master file information to the next stage.

4. The method for managing excavator trial production and assembly data according to claim 1, characterized in that: In step three, the job content data dictionary contains two levels of nodes. The first level node is the trial production section in a character string format, and the second level node is the standard job content in the format of the current trial production section + component description + operation description. The dictionary can be manually expanded and maintained, and one or more standard job contents in the job content data dictionary are selected, and the operator for each standard job content is specified to perform task allocation.

5. The method for managing excavator trial production and assembly data according to claim 1 or 4, characterized in that: In step 4, the format of the customized job content is consistent with the format of the standard job content. The customized job content contains key information blocks such as trial production section description, component description, and operation description. The purpose of keeping the customized job content consistent with the standard customized content is to convert the accumulated large amount of customized job content into standard job content through text similarity algorithm in the later stage.

6. The method for managing excavator trial production and assembly data according to claim 1, characterized in that: In step 5, there is only one process for production log process processing, assembly record process processing, and BOM use process processing, and there are one or more processes of the same mode for process exception process processing, wherein the production log contains key structured information such as quality control points, measuring instruments, inspection standards, measurement results, and man-hours; the assembly record contains important structured information such as operation steps and change contents; The BOM usage filter calls the production material BOM data generated from the production material BOM import phase and records the material usage; the process exceptions include key structured information such as exception type, abnormal component classification, abnormal component number, whole machine number, trial production section, operation content, abnormal system classification, etc.

7. The method for managing excavator trial production and assembly data according to claim 1, characterized in that: In step six, the custom job contents in all trial production tasks constitute a custom job content set, and each custom job content includes key information blocks such as trial production section description, component description, and operation description. For the custom job content set, the key information blocks are calculated and analyzed through a text similarity matching algorithm to generate one or more similar job content sets. After standard job content recommendation, each similar job content set can generate a new standard job content. After confirmation, the new standard job content is stored in the job content data dictionary. The new standard job content is associated with the similar job content set. According to needs, the custom job content can be replaced with the standard job content.

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